Information Package / Course Catalogue
Artificial Intelligence and Applications
Course Code: MIS510
Course Type: Area Elective
Couse Group: Second Cycle (Master's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 7
Objectives of the Course

The aim of this course, students are informed to provide engineering applications of artificial intelligence and related matters.

Course Content

Artificial intelligence, expert systems, fuzzy logic, artificial neural networks, Neuro-Fuzzy, Genetic Algorithm

Name of Lecturer(s)
Learning Outcomes
1. Ability to understand the logic of fuzzy
2.Ability to understand the logic of genetic algorithm
3. The ability to design Intelligent System
4.The ability to design an intelligent system using techniques such as neural networks and expert system
5.The ability to understand issues related to Artificial Intelligent
Recommended or Required Reading
Weekly Detailed Course Contents
Week 1 - Theoretical
The basic principles of artificial intelligence
Week 2 - Theoretical
Expert systems, Knowledge Engineering, Expert system's general structure
Week 3 - Theoretical
Methods of presentation of information, search methods, Inference
Week 4 - Theoretical
Expert System Design, Forward chaining, Backward chaining
Week 5 - Theoretical
Probability and expert systems
Week 6 - Theoretical
Fuzzy sets, fuzzy sets properties, Fuzzy set operations
Week 7 - Theoretical
Fuzzy relations, membership functions, hypnotise
Week 8 - Theoretical
Inference techniques, rinsing techniques
Week 9 - Intermediate Exam
Midterm Exam
Week 10 - Intermediate Exam
Midterm Exam
Week 11 - Theoretical
Artificial Neural Networks
Week 12 - Theoretical
Artificial Neural Network
Week 13 - Theoretical
Applications of Neural Networks
Week 14 - Theoretical
Neuro-Fuzzy
Week 15 - Final Exam
Final Exam
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory160348
Assignment102020
Individual Work260378
Quiz20510
Midterm Examination101010
Final Examination101515
TOTAL WORKLOAD (hours)181
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
OÇ-1
4
4
4
4
4
4
4
4
OÇ-2
4
4
4
4
4
4
4
4
4
OÇ-3
4
5
5
5
5
5
5
5
5
4
OÇ-4
4
4
4
4
4
4
4
4
4
4
OÇ-5
4
5
5
5
5
5
5
5
5
5
Adnan Menderes University - Information Package / Course Catalogue